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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Jan 30, 2023
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Infant Low Birth Weight Prediction Using Graph Embedding Features.
Wasif Khan et al. International journal of environmental research and public health 2023 20(2)
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Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity Score.
Eilts Sonja K et al. JAMA network open 2023 6(1) e2251512
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Predicting Childhood Obesity Based on Single and Multiple Well-Child Visit Data Using Machine Learning Classifiers.
Mondal Pritom Kumar et al. Sensors (Basel, Switzerland) 2023 23(2)
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Prediction of extubation failure among low birthweight neonates using machine learning.
Natarajan Annamalai et al. Journal of perinatology : official journal of the California Perinatal Association 2023
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The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism.
Hudry Kristelle et al. Research on child and adolescent psychopathology 2023
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Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study.
Koech Angela et al. JMIR human factors 2022 9(4) e34823
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Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data.
Ter-Minassian Lucile et al. BMJ open 2022 12(12) e058058
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An accurate deep learning model for wheezing in children using real world data.
Kim Beom Joon et al. Scientific reports 2022 12(1) 22465
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Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms.
Ramanathan Ashwin et al. Eye (London, England) 2022
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Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.
Bogale Dawit S et al. BMC medical informatics and decision making 2022 22(1) 341
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Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.
Becker Martin et al. Frontiers in pediatrics 2022 10933266
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New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring.
Hackelöer Max et al. Archives of gynecology and obstetrics 2022 1-15
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Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review.
Das Sushmit et al. Progress in neuro-psychopharmacology & biological psychiatry 2022 110705
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Risk Prediction for Stillbirth and Neonatal Mortality in Low-resource Settings.
Shukla Vivek V et al. Newborn (Clarksville, Md.) 2022 1(2) 215-218
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A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
Barnes Josue et al. The Lancet. Digital health 2022 5(1) e28-e40
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The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes-The Value of Regulatory Frameworks.
Medenica Sanja et al. Diagnostics (Basel, Switzerland) 2022 12(12)
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Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia.
Cole Emily et al. Ophthalmology science 2022 2(4) 100165
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Identifying factors associated with central obesity in school students using artificial intelligence techniques.
Zhang Yicheng et al. Frontiers in pediatrics 2022 101060270
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Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated with Survival.
Newgard Craig D et al. Annals of surgery 2022
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From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine.
Vijlbrief Daniel et al. Pediatric research 2022
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Using machine-learning methods to identify early-life predictors of 11-year language outcome.
Gasparini Loretta et al. Journal of child psychology and psychiatry, and allied disciplines 2022
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Development and Validation of Algorithms to Estimate Live Birth Gestational Age in Medicaid Analytic eXtract Data.
Zhu Yanmin et al. Epidemiology (Cambridge, Mass.) 2022 34(1) 69-79
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Use of artificial intelligence and deep learning in fetal ultrasound imaging.
Ramirez Zegarra R et al. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2022
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Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.
Bowe Andrea K et al. International journal of public health 2022 671605047
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Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.
Alqaysi M E et al. Computational and mathematical methods in medicine 2022 20229410222
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Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study.
Liu Zheng et al. Frontiers in pediatrics 2022 10899954
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Prediction of Adverse Outcomes in De Novo Hypertensive Disorders of Pregnancy: Development and Validation of Maternal and Neonatal Prognostic Models.
Chen Junjun et al. Healthcare (Basel, Switzerland) 2022 10(11)
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An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.
Moghadam Saeed Montazeri et al. The Lancet. Digital health 2022 4(12) e884-e892
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Utilizing big data from electronic health records in pediatric clinical care.
Macias Charles G et al. Pediatric research 2022 1-8
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Machine learning models effectively distinguish attention-deficit/hyperactivity disorder using event-related potentials.
Ghasemi Elham et al. Cognitive neurodynamics 2022 16(6) 1335-1349
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Page last reviewed:
Jul 25, 2022
Page last updated:
Jan 30, 2023
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